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Paper Citation Record · LEDGER

Conditional Language Learning with Context

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.01976.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.01976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:21.628207Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T16:30:21.830060Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 952f2172-256a-4203-94ed-2ab636661900 · inbound

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training cites this paper.

When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training Conditional Language Learning with Context

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-12T16:30:21.842402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-12T16:30:21.438479Z digest=sha256:c200398c0dfc26cfce820734c5c60d2ac7530109dde442892c9df473170ed123

Observation 59c8a36f-fe50-424f-a446-ae69a9dcffd0 · inbound

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars cites this paper.

When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars Conditional Language Learning with Context

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T10:40:21.628207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:40:21.628207Z digest=sha256:d3753ab60cded2d730fa9ca482556d33f45fff659f47c33ef05cf4c87e232d49